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Mourad Larbi
Mourad Larbi
Machine Learning Engineer, Hewlett Packard Enterprise
Verified email at hpe.com
Title
Cited by
Cited by
Year
Machine learning and uncertainty quantification for surrogate models of integrated devices with a large number of parameters
R Trinchero, M Larbi, HM Torun, FG Canavero, M Swaminathan
IEEE Access 7, 4056-4066, 2018
822018
Variability impact of many design parameters: The case of a realistic electronic link
M Larbi, IS Stievano, FG Canavero, P Besnier
IEEE Transactions on Electromagnetic Compatibility 60 (1), 34-41, 2017
452017
Probability of EMC failure and sensitivity analysis with regard to uncertain variables by reliability methods
M Larbi, P Besnier, B Pecqueux
IEEE Transactions on Electromagnetic Compatibility 57 (2), 274-282, 2014
282014
The adaptive controlled stratification method applied to the determination of extreme interference levels in EMC modeling with uncertain input variables
M Larbi, P Besnier, B Pecqueux
IEEE Transactions on Electromagnetic Compatibility 58 (2), 543-552, 2016
212016
Analysis of parameter variability in an integrated wireless power transfer system via partial least-squares regression
M Larbi, R Trinchero, FG Canavero, P Besnier, M Swaminathan
IEEE Transactions on Components, Packaging and Manufacturing Technology 10 …, 2020
182020
Behavioral Modeling of Tunable I/O Drivers with Preemphasis Including Power Supply Noise
H Yu, T Michalka, M Larbi, M Swaminathan
IEEE Transactions on Very Large Scale Integration, pp. 1-10, 2019
182019
A Bayesian framework for optimizing interconnects in high-speed channels
HM Torun, M Larbi, M Swaminathan
2018 IEEE MTT-S International Conference on Numerical Electromagnetic and …, 2018
172018
Statistical analysis of the efficiency of an integrated voltage regulator by means of a machine learning model coupled with Kriging regression
R Trinchero, M Larbi, M Swaminathan, FG Canavero
IEEE Electromagnetic Compatibility Magazine 10 (1), 72-75, 2021
102021
Analysis of parameter variability in integrated devices by partial least squares regression
M Larbi, R Trinchero, FG Canavero, P Besnier, M Swaminathan
2020 IEEE 24th workshop on signal and power integrity (SPI), 1-4, 2020
102020
Uncertainty quantification of SiP based integrated voltage regulator
M Larbi, HM Torun, M Swaminathan, IS Stievano, FG Cañavero, ...
2018 IEEE 22nd Workshop on Signal and Power Integrity (SPI), 1-4, 2018
62018
Méthodes statistiques pour le calcul d’interférences électromagnétiques extrêmes au sein de systèmes complexes
M Larbi
INSA de Rennes, 2016
62016
Probability of extreme interference levels computed from reliability approaches: Application to transmission lines with uncertain parameters
M Larbi, P Besnier, B Pecqueux
2014 International Symposium on Electromagnetic Compatibility, 647-652, 2014
62014
Estimation of parameter variability for high dimensional microwave problems via partial least squares
M Larbi, HM Torun, M Swaminathan
2019 IEEE MTT-S International Microwave Symposium (IMS), 940-943, 2019
52019
Behavioral modeling of pre-emphasis drivers including power supply noise using neural networks
H Yu, J Shin, T Michalka, M Larbi, M Swaminathan
2019 IEEE 10th Latin American Symposium on Circuits & Systems (LASCAS), 37-40, 2019
52019
Identfication of main factors of uncertainty in a microstrip line network
M Larbi, IS Stievano, F Canavero, P Besnier
Progress In Electromagnetics Research 162, 61-72, 2018
52018
Behavioral modeling of tunable I/O drivers with pre-emphasis using neural networks
H Yu, J Shin, T Michalka, M Larbi, M Swaminathan
20th International Symposium on Quality Electronic Design (ISQED), 247-252, 2019
42019
Crosstalk analysis of printed circuits with many uncertain parameters using sparse polynomial chaos metamodels
M Larbi, IS Stievano, FG Canavero, P Besnier
2017 International Symposium on Electromagnetic Compatibility-EMC EUROPE, 1-6, 2017
42017
Plane wave coupling to an aerial electrical cable. Assessment of extreme interference levels with the controlled stratification method
M Larbi, P Besnier, B Pecqueux, F Puybaret
2016 International Symposium on Electromagnetic Compatibility-EMC EUROPE …, 2016
42016
Machine Learning-Based System Optimization and Uncertainty Quantification for Integrated Systems
HM Torun, M Larbi, M Swaminathan
Machine Learning in VLSI Computer-Aided Design, 505-536, 2019
12019
The controlled stratification method to estimate extreme quantiles in the field of EMC modelling
M Larbi, P Besnier, B Pecqueux
2015 IEEE International Symposium on Electromagnetic Compatibility (EMC …, 2015
12015
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